This directory -- i.e., docker/ -- contains some docker images that we use for
testing both locally and in CI. They contain dependencies and a pre-built
version of NLE.
You can try out the latest stable version in Ubuntu 18.04 by doing:
$ docker pull fairnle/nle:stable
$ docker run --gpus all --rm -it fairnle/nle:stable python # or bash
# Then you can simply use the nle package as normalThe git repository is installed inside a conda distribution, and can be found in
/opt/nle inside the images.
The DockerHub repository also contains pre-built images per each released
version of nle, following a specific templates:
1. fairnle/nle:stable
2. fairnle/nle:<nle-version> # corresponds to (1), based on Ubuntu 18.04
3. fairnle/nle-xenial:<nle-version> # Based on Ubuntu 16.04
4. fairnle/nle-focal:<nle-version> # Based on Ubuntu 20.04
5. fairnle/nle:<sha> # bionic image built on dockerfile changes
6. fairnle/nle-xenial:<sha> # xenial image built on dockerfile changes
7. fairnle/nle-focal:<sha> # focal image built on dockerfile changes
8. fairnle/nle:dev # points to latest built sha
9. fairnle/nle-xenial:dev # points to latest built sha
10. fairnle/nle-focal:dev # points to latest built sha<nle-version> is the latest pip version released, and follows semantic versioning (so something like X.Y.Z).
To build and run any of them (e.g. Dockerfile-bionic) do:
$ git clone https://github.com/facebookresearch/nle --recursive
$ cd nle
$ docker build -f docker/Dockerfile-bionic . -t nle
$ docker run --gpus all --rm --name nle nle
# or alternatively
$ docker run --gpus all -it --entrypoint /bin/bash nle